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Dictionary Learning

Dictionary Learning is an important problem in multiple areas, ranging from computational neuroscience, machine learning, to computer vision and image processing. The general goal is to find a good basis for given data. More formally, in the Dictionary Learning problem, also known as sparse coding, we are given samples of a random vector $y\in\mathbb{R}^n$, of the form $y=Ax$ where $A$ is some unknown matrix in $\mathbb{R}^{n×m}$, called dictionary, and $x$ is sampled from an unknown distribution over sparse vectors. The goal is to approximately recover the dictionary $A$.

Source: Polynomial-time tensor decompositions with sum-of-squares

Papers

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Showing 776–800 of 823 papers

TitleStatusHype
Interpretable Online Network Dictionary Learning for Inferring Long-Range Chromatin InteractionsCode0
Interpreting Large Text-to-Image Diffusion Models with Dictionary LearningCode0
Classification with Incoherent Kernel Dictionary LearningCode0
Coupled Dictionary Learning for Multi-contrast MRI ReconstructionCode0
Inversion of Magnetic Data using Learned Dictionaries and Scale SpaceCode0
Quantifying Feature Space Universality Across Large Language Models via Sparse AutoencodersCode0
Optimal Projections for Discriminative Dictionary Learning using the JL-lemmaCode0
Occluded Face Recognition Using Low-rank Regression with Generalized Gradient DirectionCode0
ECG beats classification via online sparse dictionary and time pyramid matchingCode0
ECG Beats Fast Classification Base on Sparse DictionariesCode0
CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary CodingCode0
Efficient and Parallel Separable Dictionary LearningCode0
Anomaly Detection with Selective Dictionary LearningCode0
Weakly Supervised Convolutional Dictionary Learning for Multi-Label ClassificationCode0
Metrics for Multivariate DictionariesCode0
Convolutional Dictionary Learning via Local ProcessingCode0
On learning with shift-invariant structuresCode0
Online Convex Matrix Factorization with Representative RegionsCode0
Accurate Dictionary Learning with Direct Sparsity ControlCode0
Blind Primed Supervised (BLIPS) Learning for MR Image ReconstructionCode0
Mixture Model Auto-Encoders: Deep Clustering through Dictionary LearningCode0
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural NetworksCode0
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel ApproachCode0
Subgradient Descent Learns Orthogonal DictionariesCode0
Unsupervised Extractive Opinion Summarization Using Sparse CodingCode0
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